Visual Representation Of Programming Project Generator
![[ECCV 2022] Grounding Visual Representations with Texts for Domain ...](https://www.lgresearch.ai/data/upload/image/blog/2_d9ce555f1.JPG)
%20have%20achieved%20SOTA%20performance%20in%20various%20visual%20language%20tasks%20by%20fusing%20the%20visual%20representations%20with%20LLMs%20leveraging%20some%20visual%20adapters.%20In%20this%20paper%2C%20we%20first%20establish%20that%20adapters%20using%20query-based%20Transformers%20such%20as%20Q-former%20is%20a%20simplified%20Multi-instance%20Learning%20method%20without%20considering%20instance%20heterogeneity%2Fcorrelation.%20We%20then%20propose%20a%20general%20component%20termed%20Multi-instance%20Visual%20Prompt%20Generator%20(MIVPG)%20to%20incorporate%20enriched%20visual%20representations%20into%20LLMs%20by%20taking%20advantage%20of%20instance%20correlation%20between%20images%20or%20patches%20for%20the%20same%20sample.%20Quantatitive%20evaluation%20on%20three%20public%20vision-language%20(VL)%20datasets%20from%20different%20scenarios%20shows%20that%20the%20proposed%20MIVPG%20improves%20Q-former%20in%20main%20VL%20tasks.)
![visual_programming [the libarynth]](https://libarynth.org/lib/exe/fetch.php?tok=5fc24d&media=https:%2F%2Fblog.interfacevision.com%2Fassets%2Fimg%2Fposts%2Fexample_visual_language_labview_02.png)
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